| Self-attentive classification-based anomaly detection in unstructured logs S Nedelkoski, J Bogatinovski, A Acker, J Cardoso, O Kao 2020 IEEE International Conference on Data Mining (ICDM), 1196-1201, 2020 | 130 | 2020 |
| Anomaly detection from system tracing data using multimodal deep learning S Nedelkoski, J Cardoso, O Kao 2019 IEEE 12th International Conference on Cloud Computing (CLOUD), 179-186, 2019 | 102 | 2019 |
| Anomaly detection and classification using distributed tracing and deep learning S Nedelkoski, J Cardoso, O Kao 2019 19th IEEE/ACM international symposium on cluster, cloud and grid …, 2019 | 93 | 2019 |
| Self-supervised log parsing S Nedelkoski, J Bogatinovski, A Acker, J Cardoso, O Kao Machine Learning and Knowledge Discovery in Databases: Applied Data Science …, 2021 | 71 | 2021 |
| Autoencoder-based condition monitoring and anomaly detection method for rotating machines S Ahmad, K Styp-Rekowski, S Nedelkoski, O Kao 2020 IEEE International Conference on Big Data (Big Data), 4093-4102, 2020 | 63 | 2020 |
| Performance diagnosis in cloud microservices using deep learning L Wu, J Bogatinovski, S Nedelkoski, J Tordsson, O Kao International Conference on Service-Oriented Computing, 85-96, 2020 | 37 | 2020 |
| Multi-source Distributed System Data for AI-Powered Analytics S Nedelkoski, J Bogatinovski, M Ajay Kumar, S Becker, J Cardoso, O Kao Service-Oriented and Cloud Computing: 8th IFIP WG 2.14 European Conference …, 2020 | 36 | 2020 |
| Self-supervised anomaly detection from distributed traces J Bogatinovski, S Nedelkoski, J Cardoso, O Kao 2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing …, 2020 | 34 | 2020 |
| A2log: attentive augmented log anomaly detection T Wittkopp, A Acker, S Nedelkoski, J Bogatinovski, D Scheinert, W Fan, ... arXiv preprint arXiv:2109.09537, 2021 | 28 | 2021 |
| Robust and transferable anomaly detection in log data using pre-trained language models H Ott, J Bogatinovski, A Acker, S Nedelkoski, O Kao 2021 IEEE/ACM international workshop on cloud intelligence …, 2021 | 25 | 2021 |
| Multi-source anomaly detection in distributed it systems J Bogatinovski, S Nedelkoski International Conference on Service-Oriented Computing, 201-213, 2020 | 19 | 2020 |
| Artificial intelligence for it operations (aiops) workshop white paper J Bogatinovski, S Nedelkoski, A Acker, F Schmidt, T Wittkopp, S Becker, ... arXiv preprint arXiv:2101.06054, 2021 | 12 | 2021 |
| Mary, Hugo, and Hugo*: Learning to schedule distributed data‐parallel processing jobs on shared clusters L Thamsen, J Beilharz, V Thuy Tran, S Nedelkoski, O Kao Concurrency and Computation: Practice and Experience, 2020 | 9 | 2020 |
| Failure identification from unstable log data using deep learning J Bogatinovski, S Nedelkoski, L Wu, J Cardoso, O Kao 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet …, 2022 | 6 | 2022 |
| Hugo: a cluster scheduler that efficiently learns to select complementary data-parallel jobs L Thamsen, I Verbitskiy, S Nedelkoski, VT Tran, V Meyer, MG Xavier, ... Euro-Par 2019: Parallel Processing Workshops: Euro-Par 2019 International …, 2020 | 6 | 2020 |
| Leveraging log instructions in log-based anomaly detection J Bogatinovski, G Madjarov, S Nedelkoski, J Cardoso, O Kao 2022 IEEE International Conference on Services Computing (SCC), 321-326, 2022 | 5 | 2022 |
| Learning more expressive joint distributions in multimodal variational methods S Nedelkoski, M Bogojeski, O Kao Machine Learning, Optimization, and Data Science: 6th International …, 2020 | 5 | 2020 |
| Multilayer active learning for efficient learning and resource usage in distributed iot architectures S Nedelkoski, L Thamsen, I Verbitskiy, O Kao 2019 IEEE International Conference on Edge Computing (EDGE), 8-12, 2019 | 4 | 2019 |
| Machine learning for large scale manufacturing data with limited information S Nedelkoski, G Stojanovski 2017 13th IEEE International Conference on Control & Automation (ICCA), 70-75, 2017 | 4 | 2017 |
| Qulog: Data-driven approach for log instruction quality assessment J Bogatinovski, S Nedelkoski, A Acker, J Cardoso, O Kao Proceedings of the 30th IEEE/ACM International Conference on Program …, 2022 | 3 | 2022 |
Odej KaoProfessor of Computer Science, TU Berlin在 tu-berlin.de 的电子邮件经过验证
